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Insurance Data Engineer Jobs in Sun Prairie, WI (NOW HIRING)

The Senior Data Engineer is responsible for software development and data engineering projects ... Experience in healthcare or insurance industry preferred Supervisory Responsibilities : * None ...

Variable Data Programmer Are you looking for a career with a great company? We are looking for a ... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ...

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... The Variable Data Programmer is responsible for developing and programming personalized print and ...

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... The Variable Data Programmer is responsible for developing and programming personalized print and ...

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... The Variable Data Programmer is responsible for developing and programming personalized print and ...

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... Job Summary: The Variable Data Programmer is responsible for developing and programming ...

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... Stay current with emerging trends and technologies in business intelligence, data engineering, and ...

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... Stay current with emerging trends and technologies in business intelligence, data engineering, and ...

... data engineering and decision science to provide winning actionable insights assisting our ... Insurance and credit union business in achieve their business goals. Innovizant made up of ...

... data engineering and decision science to provide winning actionable insights assisting our ... Insurance and credit union business in achieve their business goals. Innovizant made up of ...

Data Analyst

Madison, WI · On-site +1

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... and engineering initiatives. * This is a remote position. * Candidates must live and work in ...

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Showing results 1-20

Insurance Data Engineer information

See Sun Prairie, WI salary details

$43.3K

$126.2K

$172.7K

How much do insurance data engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for insurance data engineer in Sun Prairie, WI is $126,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Sun Prairie, WI? For Insurance Data Engineer jobs in Sun Prairie, WI, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Sun Prairie, WI look for? The top searched job categories for Insurance Data Engineer jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Insurance Data Engineer jobs? Cities near Sun Prairie, WI with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Sun Prairie, WI as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 74% In-person, 18% Hybrid, and 8% Remote job distribution, with an average salary of $126,206 per year, or $60.7 per hour.
Senior Data Engineer

Senior Data Engineer

Moxe

Madison, WI

$120 - $160K/hr

Full-time

Posted 28 days ago


Job description

Job Summary: The Senior Data Engineer is responsible for software development and data engineering projects. Identifies and executes tasks in the software development life cycle, reviews and debugs codes. They are responsible for ensuring the quality and functionality of software solutions. Collaborate with internal teams and provide technical guidance to deliver successful products.

Duties/Responsibilities:

  • Write well-designed, testable, efficient code
  • Produce specifications and determine operational feasibility
  • Integrate software components into a fully-functional software system
  • Develop software verification plans and quality assurance procedures
  • Document and maintain software functionality and APIs
  • Configure and deploy software tools, processes and metrics
  • Adhere to industry standards and regulations
  • Embrace and evolve our agile development practices

Required Skills/Abilities:

  • Expert at developing complex software and data pipelines in Python, Airflow, DBT, Databricks, C# / .NET
  • Expert with unit, integration and data quality testing
  • Expert understanding of relational databases and open data formats and query concepts
  • Excellent problem solving, coding and debugging skills
  • Excellent verbal and written communication skills
  • Time management skills with ability to meet deadlines
  • Experience with GitHub and version control concepts, preferably Git
  • Working experience with software/data engineer and design concepts
  • Familiarity with distributed systems on AWS
  • Experience with Continuous Integration and Continuous Development
  • Skilled GitHub and git
  • Proven understanding of REST APIs and knowledge of how to build and call them

Education and Experience:

  • BS degree in Computer Science, Engineering, Mathematics or relative experience
  • 3+ years of experience software engineering
  • Experience in healthcare or insurance industry preferred

Supervisory Responsibilities:

  • None

Physical and or Travel Requirements:

  • Prolonged periods of sitting at a desk and working on a computer
  • Occasional travel for company wide meetings

Salary Range:

  • $120 – $160k USD

Who We Are:

High quality, affordable healthcare is a basic human right and at Moxe, we are committed to making it a reality. We're on a mission to slash billions from healthcare costs. It's no secret that the US healthcare system is rife with inefficiencies and unnecessary costs. While the rest of us have migrated to interconnected, digital platforms, healthcare still uses paper, pdfs, snail mail and fax to transmit information.

We know there is a better way to deliver healthcare. Data exchange today consists of mailing or faxing paper files and pdf'ing endless records from existing Electronic Medical records. It can take months to process and compile those records into usable data. Our platform enables providers and health plans to exchange clinical data instantly, saving the entire system (patient to provider to plan) time and money in the process.

Who are we? We're a steadfast team of innovators, problem-solvers, and truth-seekers, dedicated to disrupting the status quo. Got the moxie to challenge the US healthcare system? Let's talk.

Got Moxie?

Join Moxe! We're a fast-growing company focused on making a difference in healthcare. An equal opportunity employer, Moxe is looking for passionate, inclusive team players who like to solve problems, think outside the box, and thrive in a dynamic environment. We hire great people from diverse backgrounds, and that makes us stronger. If you share our values: integrity, transparency, respect, frankness, persistence, and unity, let's talk.

All qualified applicants will receive consideration for employment irrespective of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

To request reasonable accommodation or if you need assistance to complete the job application, contact careers@moxehealth.com